#!/usr/bin/env python2
"""
Copyright (C) 2023 Mandiant, Inc. All Rights Reserved.
Licensed under the Apache License, Version 2.0 (the "License");
 you may not use this file except in compliance with the License.
You may obtain a copy of the License at: [package root]/LICENSE.txt
Unless required by applicable law or agreed to in writing, software distributed under the License
 is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and limitations under the License.

show-features

Show the features that capa extracts from the given sample,
to assist with the development of rules.

If you have a function with a capability that you'd like to detect,
you can run this tool and grep for the function/basic block/instruction addresses
to see what capa picks up.
This way, you can verify that capa successfully notices the features you'd reference.

Example::

    $ python scripts/show-features.py /tmp/suspicious.dll_
    ...
    file: 0x10004e4d: export(__entry)
    file: 0x10004706: export(Install)
    file: 0x10004c2b: export(uninstallA)
    file: 0x10005034: import(kernel32.GetStartupInfoA)
    file: 0x10005034: import(GetStartupInfoA)
    file: 0x10005048: import(kernel32.SetLastError)
    file: 0x00004e10: string(Y29ubmVjdA==)
    file: 0x00004e28: string(practicalmalwareanalysis.com)
    file: 0x00004e68: string(serve.html)
    file: 0x00004eb8: string(dW5zdXBwb3J0)
    file: 0x00004ec8: string(c2xlZXA=)
    func: 0x100012c2: characteristic(calls to)
    func: 0x10001000: characteristic(loop)
    bb  : 0x10001000: basic block
    insn: 0x10001000: mnemonic(push)
    insn: 0x10001001: mnemonic(push)
    insn: 0x10001002: mnemonic(push)
    insn: 0x10001003: mnemonic(push)
    insn: 0x10001004: mnemonic(push)
    insn: 0x10001005: mnemonic(push)
    insn: 0x10001006: mnemonic(xor)
    insn: 0x10001008: number(0x1)
    insn: 0x10001008: mnemonic(mov)
    bb  : 0x1000100a: basic block
    bb  : 0x1000100a: characteristic(tight loop)
    insn: 0x1000100a: mnemonic(movzx)
    insn: 0x1000100d: mnemonic(mov)
    insn: 0x1000100f: offset(0x1000A7C8)
    insn: 0x1000100f: mnemonic(mov)
    insn: 0x10001015: offset(0x100075C8)
    insn: 0x10001015: mnemonic(mov)
    insn: 0x1000101b: mnemonic(mov)
    insn: 0x1000101d: number(0x80)
    insn: 0x1000101d: mnemonic(and)
    insn: 0x10001020: mnemonic(neg)
    insn: 0x10001022: mnemonic(sbb)
    insn: 0x10001024: number(0x1B)
    insn: 0x10001024: mnemonic(and)
    insn: 0x10001027: number(0x1)
    insn: 0x10001027: mnemonic(shl)
    ...
"""
import os
import sys
import logging
import argparse
from typing import Tuple
from pathlib import Path

import capa.main
import capa.rules
import capa.engine
import capa.helpers
import capa.features
import capa.exceptions
import capa.render.verbose as v
import capa.features.freeze
import capa.features.address
import capa.features.extractors.pefile
from capa.helpers import get_auto_format, log_unsupported_runtime_error
from capa.features.insn import API, Number
from capa.features.common import (
    FORMAT_AUTO,
    FORMAT_CAPE,
    FORMAT_FREEZE,
    DYNAMIC_FORMATS,
    String,
    Feature,
    is_global_feature,
)
from capa.features.extractors.base_extractor import FunctionHandle, StaticFeatureExtractor, DynamicFeatureExtractor

logger = logging.getLogger("capa.show-features")


def format_address(addr: capa.features.address.Address) -> str:
    return v.format_address(capa.features.freeze.Address.from_capa((addr)))


def main(argv=None):
    if argv is None:
        argv = sys.argv[1:]

    parser = argparse.ArgumentParser(description="Show the features that capa extracts from the given sample")
    capa.main.install_common_args(parser, wanted={"format", "os", "sample", "signatures", "backend"})

    parser.add_argument("-F", "--function", type=str, help="Show features for specific function")
    parser.add_argument("-P", "--process", type=str, help="Show features for specific process name")
    args = parser.parse_args(args=argv)
    capa.main.handle_common_args(args)

    if args.function and args.backend == "pefile":
        print("pefile backend does not support extracting function features")
        return -1

    try:
        _ = capa.helpers.get_file_taste(Path(args.sample))
    except IOError as e:
        logger.error("%s", str(e))
        return -1

    try:
        sig_paths = capa.main.get_signatures(args.signatures)
    except IOError as e:
        logger.error("%s", str(e))
        return -1

    format_ = args.format if args.format != FORMAT_AUTO else get_auto_format(args.sample)
    if format_ == FORMAT_FREEZE:
        # this should be moved above the previous if clause after implementing
        # feature freeze for the dynamic analysis flavor
        extractor = capa.features.freeze.load(Path(args.sample).read_bytes())
    else:
        should_save_workspace = os.environ.get("CAPA_SAVE_WORKSPACE") not in ("0", "no", "NO", "n", None)
        try:
            extractor = capa.main.get_extractor(
                args.sample, format_, args.os, args.backend, sig_paths, should_save_workspace
            )
        except capa.exceptions.UnsupportedFormatError as e:
            if format_ == FORMAT_CAPE:
                capa.helpers.log_unsupported_cape_report_error(str(e))
            else:
                capa.helpers.log_unsupported_format_error()
            return -1
        except capa.exceptions.UnsupportedRuntimeError:
            log_unsupported_runtime_error()
            return -1

    if format_ in DYNAMIC_FORMATS:
        assert isinstance(extractor, DynamicFeatureExtractor)
        print_dynamic_analysis(extractor, args)
    else:
        assert isinstance(extractor, StaticFeatureExtractor)
        print_static_analysis(extractor, args)

    return 0


def print_static_analysis(extractor: StaticFeatureExtractor, args):
    for feature, addr in extractor.extract_global_features():
        print(f"global: {format_address(addr)}: {feature}")

    if not args.function:
        for feature, addr in extractor.extract_file_features():
            print(f"file: {format_address(addr)}: {feature}")

    function_handles: Tuple[FunctionHandle, ...]
    if isinstance(extractor, capa.features.extractors.pefile.PefileFeatureExtractor):
        # pefile extractor doesn't extract function features
        function_handles = ()
    else:
        function_handles = tuple(extractor.get_functions())

    if args.function:
        if args.format == "freeze":
            function_handles = tuple(filter(lambda fh: fh.address == args.function, function_handles))
        else:
            function_handles = tuple(filter(lambda fh: format_address(fh.address) == args.function, function_handles))

            if args.function not in [format_address(fh.address) for fh in function_handles]:
                print(f"{args.function} not a function")
                return -1

        if len(function_handles) == 0:
            print(f"{args.function} not a function")
            return -1

    print_static_features(function_handles, extractor)


def print_dynamic_analysis(extractor: DynamicFeatureExtractor, args):
    for feature, addr in extractor.extract_global_features():
        print(f"global: {format_address(addr)}: {feature}")

    if not args.process:
        for feature, addr in extractor.extract_file_features():
            print(f"file: {format_address(addr)}: {feature}")

    process_handles = tuple(extractor.get_processes())

    if args.process:
        process_handles = tuple(filter(lambda ph: ph.inner["name"] == args.process, process_handles))
        if args.process not in [ph.inner["name"] for ph in args.process]:
            print(f"{args.process} not a process")
            return -1

    print_dynamic_features(process_handles, extractor)


def print_static_features(functions, extractor: StaticFeatureExtractor):
    for f in functions:
        if extractor.is_library_function(f.address):
            function_name = extractor.get_function_name(f.address)
            logger.debug("skipping library function %s (%s)", format_address(f.address), function_name)
            continue

        print(f"func: {format_address(f.address)}")

        for feature, addr in extractor.extract_function_features(f):
            if is_global_feature(feature):
                continue

            if f.address != addr:
                print(f" func: {format_address(f.address)}: {feature} -> {format_address(addr)}")
            else:
                print(f" func: {format_address(f.address)}: {feature}")

        for bb in extractor.get_basic_blocks(f):
            for feature, addr in extractor.extract_basic_block_features(f, bb):
                if is_global_feature(feature):
                    continue

                if bb.address != addr:
                    print(f" bb: {format_address(bb.address)}: {feature} -> {format_address(addr)}")
                else:
                    print(f" bb: {format_address(bb.address)}: {feature}")

            for insn in extractor.get_instructions(f, bb):
                for feature, addr in extractor.extract_insn_features(f, bb, insn):
                    if is_global_feature(feature):
                        continue

                    try:
                        if insn.address != addr:
                            print(
                                f"  insn: {format_address(f.address)}: {format_address(insn.address)}: {feature} -> {format_address(addr)}"
                            )
                        else:
                            print(f"  insn: {format_address(insn.address)}: {feature}")

                    except UnicodeEncodeError:
                        # may be an issue while piping to less and encountering non-ascii characters
                        continue


def print_dynamic_features(processes, extractor: DynamicFeatureExtractor):
    for p in processes:
        print(f"proc: {p.inner.process_name} (ppid={p.address.ppid}, pid={p.address.pid})")

        for feature, addr in extractor.extract_process_features(p):
            if is_global_feature(feature):
                continue

            print(f" proc: {p.inner.process_name}: {feature}")

            for t in extractor.get_threads(p):
                print(f"  thread: {t.address.tid}")
                for feature, addr in extractor.extract_thread_features(p, t):
                    if is_global_feature(feature):
                        continue

                    if feature != Feature(0):
                        print(f"   {format_address(addr)}: {feature}")

                for call in extractor.get_calls(p, t):
                    apis = []
                    arguments = []
                    for feature, addr in extractor.extract_call_features(p, t, call):
                        if is_global_feature(feature):
                            continue

                        if isinstance(feature, API):
                            assert isinstance(addr, capa.features.address.DynamicCallAddress)
                            apis.append((addr.id, str(feature.value)))

                        if isinstance(feature, (Number, String)):
                            arguments.append(str(feature.value))

                    if not apis:
                        print(f"    arguments=[{', '.join(arguments)}]")

                    for cid, api in apis:
                        print(f"    call {cid}: {api}({', '.join(arguments)})")


def ida_main():
    import idc

    import capa.features.extractors.ida.extractor

    function = idc.get_func_attr(idc.here(), idc.FUNCATTR_START)
    print(f"getting features for current function {hex(function)}")

    extractor = capa.features.extractors.ida.extractor.IdaFeatureExtractor()

    if not function:
        for feature, addr in extractor.extract_file_features():
            print(f"file: {format_address(addr)}: {feature}")
        return

    function_handles = tuple(extractor.get_functions())

    if function:
        function_handles = tuple(filter(lambda fh: fh.inner.start_ea == function, function_handles))

        if len(function_handles) == 0:
            print(f"{hex(function)} not a function")
            return -1

    print_static_features(function_handles, extractor)

    return 0


def ghidra_main():
    import capa.features.extractors.ghidra.extractor

    extractor = capa.features.extractors.ghidra.extractor.GhidraFeatureExtractor()

    for feature, addr in extractor.extract_file_features():
        print(f"file: {format_address(addr)}: {feature}")

    function_handles = tuple(extractor.get_functions())

    print_static_features(function_handles, extractor)

    return 0


if __name__ == "__main__":
    if capa.helpers.is_runtime_ida():
        ida_main()
    elif capa.helpers.is_runtime_ghidra():
        ghidra_main()
    else:
        sys.exit(main())